Sena Karadeniz
Software Engineer
Melbourne,VIC
Summary
Meticulous Data Engineer accomplished in compiling, transforming and analyzing complex information through software. Expert in software development and large dataset management. Demonstrated success in identifying relationships and building solutions to business problems.
Timeline
Greenwich College - Diploma of Business , Digital Transformation
01.2024 - Current
Data Engineer - Huawei Technologies
05.2022 - 06.2023
Software Engineer - Interprobe
10.2020 - 05.2022
Data Science Intern - Interprobe
07.2020 - 09.2020
Sakarya University - Bachelor of Science, Computer Engineering
09.2016 - 06.2020
Work History
Data Engineer
Huawei Technologies
Ankara, Turkey
05.2022 - 06.2023
- Executed data migration across international borders using HiveQL and Beeline within a Linux environment.
- Proficient in Bash Scripting and Bash usage.
- Analyzed extensive datasets to generate comprehensive reports for clients.
- Demonstrated proficiency in data visualization using various tools or coding methods.
- Developed software to automate data analysis and testing using PySpark.
- Contributed to team projects, showcasing strong collaborative and efficient work abilities.
Software Engineer
Interprobe
Ankara, Turkey
10.2020 - 05.2022
- Designed and developed user-friendly ETL tool interfaces using AngularJS and Java to simplify overall management.
- Developed object-oriented web applications using Java, Spring Boot, and Maven, ensuring robustness and scalability.
- Developed data transformation modules utilizing Spark SQL and Spark Structured Streaming Dataframe API in Java, including Joiner, Group By, Deduplicator, Select, and Count functionalities, with corresponding front-end development in AngularJS.
- Conducted thorough unit testing with JUnit to validate the accuracy of each feature prior to deployment.
- Participated in code review meetings, providing input on bugs, inefficiencies and potential solutions to emergent issues.
Data Science Intern
Interprobe
Ankara, Turkey
07.2020 - 09.2020
- Developed interactive Python dashboards using libraries such as Plotly, while also extracting features from unstructured data sources like images and audio files.
- Researched new technologies and tools that can be used for improving the efficiency of data science processes
- Enhanced model performance by fine-tuning hyperparameters and optimizing feature engineering techniques.
- Assessed model effectiveness through various performance metrics including accuracy, precision, recall, and F1 score.
- Pursued professional courses covering topics such as Artificial Intelligence, Big Data, Quantum Machine Learning, Digital Signal Processing, and IT Law.
Education
Bachelor of Science - Computer Engineering
09.2016 - 06.2020
Diploma of Business - Digital Transformation
01.2024 - Current
Languages
English
Professional
Software
Apache Spark
Hadoop
Hive
Apache Nifi
Spring Boot
Maven
Postman
Docker
Skills
- Jira
- Confluence
- SQL
- HiveQL
- Java
- Python
- PySpark
- AngularJS
- HTML
- CSS
- Data Migration
- Data Analysis
- Data Reporting
- Data Visualisation
- Key performance indicators
- Teamwork and Collaboration
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